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20Feb-n-plus
persona-shattering-lasr/20Feb-n-plus
20Feb-n-plus is a machine learning model from persona-shattering-lasr. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
Neuroticism-increasing LoRA adapters fine-tuned on Llama-3.1-8B-Instruct. Four independent reruns with different random seeds to verify training independence.
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Updated Feb 25, 2026
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At a glance
- Library
- transformers
- Access
- Public
- Created
- Feb 20, 2026
- Updated
- Feb 25, 2026
- SHA
- 2832ba4e
Base models
Model card
From the Hugging Face model README
20Feb n+ (neuroticism-increasing) LoRA adapters
Neuroticism-increasing LoRA adapters fine-tuned on Llama-3.1-8B-Instruct. Four independent reruns with different random seeds to verify training independence.
Checkpoints
| Folder | Seed | Global ||dW||_F |
|---|---|---|
| checkpoints/final/ | 42 (original) | 4.133 |
| rerun-seed123/ | 123 | 4.148 |
| rerun-seed456/ | 456 | 4.146 |
| rerun-seed789/ | 789 | 4.156 |
All 4 runs use identical training data and hyperparameters, only the random seed differs.
Training details
- Base model: meta-llama/Llama-3.1-8B-Instruct
- LoRA rank: 4, alpha=8
- Training data: 450 examples (50 held out for validation)
- Epochs: 3
- Learning rate: 2e-4
- Batch size: 4
- Max sequence length: 1024
Independence verification
All 6 pairwise comparisons between the 4 seeds show consistent independence:
| Metric | n+ vs n+ (mean across 6 pairs) | n+ vs n- (mean across 4 pairs) |
|---|---|---|
| NFD | ~1.33 | ~1.33 |
| Cosine Similarity | ~0.12 | ~0.03 |
| Principal Angles | ~56° | ~79° |
All adapters are genuinely independent solutions (near-orthogonal, similar magnitude).
See experiments/compare_checkpoints.py in the project repo for full analysis.
- Library
- transformers
- Created
- Feb 20, 2026
- Updated
- Feb 25, 2026